Friends who are going to buy or are driving electric vehicles (including hybrid electric vehicles) should pay attention. A new study shows that, Pedestrians are more likely to be hit by electric vehicles than fuel vehicles 。
According to overseas media reports, a recent study published in the Journal of Epidemiology&Community Health shows that, British pedestrians are twice as likely to be hit by electric or hybrid vehicles as by fuel vehicles.
The researchers analyzed the traffic data of the United Kingdom from 2013 to 2017, and found that during this period, most traffic accidents of pedestrian casualties caused by vehicle collisions in the United Kingdom occurred in urban areas, and the proportion of electric or hybrid vehicles involved (94%) was higher than that of gasoline/diesel vehicles (88%). The researchers calculated that between 2013 and 2017, the average annual pedestrian casualty rate for every 100 million miles (about 160 million kilometers) of electric and hybrid vehicles was 5.16, and that for gasoline and diesel vehicles was 2.40.
The reason for this is that electric vehicles (including hybrid vehicles) are quieter and harder to be found by pedestrians in noisy urban environments, which is more likely to lead to traffic accidents. This is also the reason why electric vehicles are forced to be equipped with prompt sounds when driving at low speeds.
However, it should be noted that this study also has shortcomings, such as the lack of data after 2017, and since 2018, new energy has been more developed, and the data is more convincing; There are 24% pedestrian casualties reported, and the vehicle type cannot be confirmed 。
In addition, some scholars pointed out that, The biggest drawback of this report is that it is impossible to determine the driving age of electric vehicle drivers They believe that younger drivers with less driving experience are more likely to have road traffic accidents, and they also prefer to drive electric vehicles. Therefore, the accident rate cannot be simply attributed to models.
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